Regression Data Analysis System

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.


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Reference manual

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install.packages("regressoR")

1.1.7 by Oldemar Rodriguez R., 4 days ago


http://www.promidat.com


Browse source code at https://github.com/cran/regressoR


Authors: Oldemar Rodriguez R. [aut, cre] , Andres Navarro D. [ctb, prg] , Diego Jimenez A. [ctb, prg]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports shiny, shinyAce, shinydashboardPlus, shinyWidgets, shinyjs, flexdashboard, neuralnet, rpart, rattle, xgboost, colourpicker, DT, randomForest, e1071, kknn, corrplot, ROCR, glmnet, gbm, pls, zip, ggplot2, dplyr, htmltools

Suggests forcats, gridExtra, tibble, scales, scatterplot3d, psych, dummies, testthat


See at CRAN